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120 Ceoloni, C., Pasquini, M., Simeone, R. 2005. The cytogenetic contribution to the analysis and manipulation of the durum wheat genome. In: Royo, C., Nachit, M.N., Di Fonzo, N., Araus, J

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., Simeone, M., Masci, S., Porceddu, E. 1997. Molecular characterization of a LMW-GS gene located on chromosome 1B an the development of primers specific for the Glu-B3 complex locus in durum wheat. Theor. Appl. Genet. 95 :1119

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stripe rust in durum wheats, A-genome diploids, and their amphiploids. Euphytica 94 :279–286. Mujeeb-Kazi A. Resistance to stripe rust in durum wheats, A-genome diploids, and their

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In the present study, efficiency of the artificial neural network (ANN) method to identify the best drought tolerance indices was investigated. For this purpose, 25 durum genotypes were evaluated under rainfed and supplemental irrigation environments during two consecutive cropping seasons (2011–2013). The results of combined analysis of variance (ANOVA) revealed that year, environment, genotype and their interaction effects were significant for grain yield. Mean grain yield of the genotypes ranged from 184.93 g plot–1 under rainfed environment to 659.32 g plot–1 under irrigated environment. Based on the ANN results, yield stability index (YSI), harmonic mean (HM) and stress susceptible index (SSI) were identified as the best indices to predict drought-tolerant genotypes. However, mean productivity (MP) followed by geometric mean productivity (GMP) and HM were found to be accurate indices for screening drought tolerant genotypes. In general, our results indicated that genotypes G9, G12, G21, G23 and G24 were identified as more desirable genotypes for cultivation in drought-prone environments. Importantly, these results could provide an evidence that ANN method can play an important role in the selection of drought tolerant genotypes and also could be useful in other biological contexts.

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., Ciaffi, M., Lafiandra, D., Borghi, B. (1997): Effect of the duration and intensity of heat shock during grain filling on dry matter and protein accumulation, technological quality and protein composition in bread and durum wheat. Aust. J. Plant Physiol

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Blanco, A., Simeone, R., Gadaleta, A. 2006. Detection of QTLs for grain protein content in durum wheat. Theor. Appl. Genet. 112 :1195–1204. Gadaleta A. Detection of QTLs for grain

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97 292 298 Almansouri, M., Kinet, J. M., Lutts, S. (2001): Effect of salt and osmotic stresses on germination in durum wheat ( Triticum durum

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.R., Clarke, J.M., Knox, R.E. 2002. Inheritance of stem solidness in eight durum wheat crosses. Can. J. Plant Sci. 82 :661–664. Knox R.E. Inheritance of stem solidness in eight durum wheat

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Cereal Research Communications
Authors: V. Oslovičová, J.R. Simmonds, J.W. Snape, Z. Gálová, Z. Balážová, and I. Matušíková

In this study we evaluate the genetic diversity of a selection of wheat accessions characteristically grown and adapted to mid-European environments, using various molecular marker systems. Thirty-three simple sequence repeat (SSR) markers were used alongside genic markers for known dwarfing genes, flowering time genes, and grain hardness genes, namely Rht-B1, Rht-D1, Ppd-D1, Vrn-A1, Vrn-B1, Vrn-D1 and Pinb-D1. In addition, variation was scored for the high-molecular-weight glutenin storage proteins, responsible for dough technological quality. A dendrogram was constructed using the UPGMA algorithm, based on the molecular data and the country of origin, giving an overview of their genetic similarity and relationships. The potential for the use of some agronomic traits in breeding, by providing a basis for multi-trait genetic selection in wheat breeding programs is discussed. Estimating the breeding values of crops using multiple genetic markers might help in breeding for varieties with good technological quality for growing under desired climatic conditions.

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bread wheat to tetraploid durum wheat. Theor. Appl. Genet. 74 :423–425. Kunzmann R. Transfer of 1B/1R wheat-rye translocation from hexaploid bread wheat to tetraploid durum wheat

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